Shell Petrol Station Locations Dataset – Netherlands

Shell is the leading fuel retailer in the Netherlands, providing a massive network of service stations and pioneering electric vehicle charging solutions. Its Dutch locations are renowned for V-Power fuels and extensive Shell Café convenience offerings.

There are 585 Shell Petrol Stations as of 7 July 2026 in the Netherlands. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Shell locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

Dataset Methodology:

This dataset is compiled from publicly available business listings, official company sources, and geospatial validation workflows. Automated quality checks and manual analyst reviews are applied to improve coordinate precision, address standardisation, duplicate detection, and overall analytical consistency.

It is periodically reviewed and updated to reflect known network changes, closures, relocations, and newly identified locations.

Data Quality Scorecard

Data Preview: Sample geospatial records from the Shell dataset in Netherlands

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
040894f...	Shell (Meijel)	51.343422	5.880158	5768 CA	63 Jan Truijenstraat, Meijel, 5768 CA...
82c6f6d...	Shell (Woudenberg)	52.050359	5.461665	3930	Woudenberg, 3930, Woudenberg, Netherl...
a55c290...	Shell (Goes)	51.513587	3.877769	4463 XZ	284 Troelstralaan, Goes, 4463 XZ, Goe...
e35f700...	Shell (Doetinchem)	51.951089	6.289183	7005 AG	52 Havenstraat, Doetinchem, 7005 AG, ...
6be208d...	Shell (Oldenzaal)	52.309033	6.904993	7576 PC	3 Schipleidelaan, Oldenzaal, 7576 PC,...

Note: Only a subset of the full dataset fields are displayed here. Download the free sample (option above) to view all fields and verify the data structure.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Shell locations in the Netherlands is found in Zuid-Holland (111 sites, equivalent to 2.88 Shell petrol stations per 100,000 residents). This is followed by Noord-Brabant (97 sites; 3.65 per 100,000) and Gelderland (84 sites; 3.89 per 100,000). From a market-penetration perspective, Zeeland has the highest brand density at 4.87 locations per 100,000 people (population: 390,000), making it the most saturated region for Shell in the Netherlands. By contrast, Noord-Holland records only 2.11 locations per 100,000 residents (population: 2,990,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Learn more about the brand network in our report: View Report

Also available for the Netherlands

Related geospatial datasets

• Administrative boundaries and full polygon dataset for the Netherlands: Map these Shell locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for the Netherlands: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Shell locations.
• Explore demographics data insights for the Netherlands: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for the Netherlands (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
• Income distribution and socio-economic patterns in the Netherlands - expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
• Explore a rich library of the Netherlands-specific datasets on our dedicated country page: detailed demographics, wealth indicators, multi-level boundaries, and a broad spectrum of retail POIs. View demographics, retail POI, and administrative boundary datasets for the Netherlands

Need the data in another format?

We can deliver this dataset in alternative formats upon request (GeoJSON, Shapefile, Excel, PostgreSQL import files, etc.). Contact us at contact@geolocet.com.

Who uses this data?

• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.

Frequently Asked Questions

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

• "Analyze this Shell dataset to identify underserved regions in the Netherlands for potential market expansion."
• "Cross-reference these petrol stations with urban transit data to score each location's accessibility for non-driving customers."
• "Measure average inter-store distance between Shell locations across different regions of the Netherlands."

Disclaimer: All brand logos and trademarks displayed are the property of their respective owners and are used strictly for identification purposes. This product consists of geospatial location data only; no images, logos, or trademark rights are included in the downloadable files.